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Benchmarking re-entry prediction uncertainties (Parallel a)

Thu, 02/21/2019 - 18:56
Start Date: 
2015
Programme: 
Discovery
End Date: 
2017
Programme Reference: 
14-608-a
Country: 
The Netherlands
Contractor: 
TU DELFT
Description: 

The primary objective of the Benchmarking re-entry prediction uncertainties study is to fully exploit the informa- tion content of the GOCE observations and telemetry collected during its reentry phase for better understand- ing re-entry predictions in general and for GOCE in particular (ESA, 2015). Down to an altitude of 137 km, a rich data set of high-quality GPS, star tracker and also accelerometer observations were collected, be it that the latter were more and more saturated.

Application Domain: 
Generic Technologies
Keywords: 
Re-entry
GOCE
Executive summary: